On the efficiency of machine learning for fatigue assessment of post-processed additively manufactured AlSi10Mg
出版年份 2022 全文链接
标题
On the efficiency of machine learning for fatigue assessment of post-processed additively manufactured AlSi10Mg
作者
关键词
-
出版物
INTERNATIONAL JOURNAL OF FATIGUE
Volume 160, Issue -, Pages 106841
出版商
Elsevier BV
发表日期
2022-03-15
DOI
10.1016/j.ijfatigue.2022.106841
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- The effects of shot peening, laser shock peening and ultrasonic nanocrystal surface modification on the fatigue strength of Inconel 718
- (2021) Erfan Maleki et al. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
- Fatigue performance and crack propagation behavior of selective laser melted AlSi10Mg in 0°, 15°, 45° and 90° building directions
- (2021) Zhongwei Xu et al. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
- Analysing the Fatigue Behaviour and Residual Stress Relaxation of Gradient Nano-Structured 316L Steel Subjected to the Shot Peening via Deep Learning Approach
- (2021) Erfan Maleki et al. METALS AND MATERIALS INTERNATIONAL
- Fatigue behaviour of notched laser powder bed fusion AlSi10Mg after thermal and mechanical surface post-processing
- (2021) Erfan Maleki et al. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
- Application of artificial intelligence to optimize the process parameters effects on tensile properties of Ti-6Al-4V fabricated by laser powder-bed fusion
- (2021) Erfan Maleki et al. International Journal of Mechanics and Materials in Design
- Fatigue limit prediction and analysis of nano-structured AISI 304 steel by severe shot peening via ANN
- (2020) Erfan Maleki et al. ENGINEERING WITH COMPUTERS
- Very-high-cycle fatigue behavior of Ti-6Al-4V manufactured by selective laser melting: Effect of build orientation
- (2020) Guian Qian et al. INTERNATIONAL JOURNAL OF FATIGUE
- Optimization of Shot Peening Effective Parameters on Surface Hardness Improvement
- (2020) Erfan Maleki et al. METALS AND MATERIALS INTERNATIONAL
- Defects as a root cause of fatigue weakening of additively manufactured AlSi10Mg components
- (2020) Paolo Ferro et al. THEORETICAL AND APPLIED FRACTURE MECHANICS
- Fatigue strength assessment of “as built” AlSi10Mg manufactured by SLM with different build orientations
- (2020) S. Beretta et al. INTERNATIONAL JOURNAL OF FATIGUE
- Deep neural network approach to estimate biaxial stress-strain curves of sheet metals
- (2020) Akinori Yamanaka et al. MATERIALS & DESIGN
- Machine learning based fatigue life prediction with effects of additive manufacturing process parameters for printed SS 316L
- (2020) Zhixin Zhan et al. INTERNATIONAL JOURNAL OF FATIGUE
- Analyzing the mechano-bactericidal effect of nano-patterned surfaces on different bacteria species
- (2020) Erfan Maleki et al. SURFACE & COATINGS TECHNOLOGY
- A novel approach based on the elastoplastic fatigue damage and machine learning models for life prediction of aerospace alloy parts fabricated by additive manufacturing
- (2020) Zhixin Zhan et al. INTERNATIONAL JOURNAL OF FATIGUE
- Evaluation of the impact behaviour of AlSi10Mg alloy produced using laser additive manufacturing
- (2019) Luca Girelli et al. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
- A statistical model of fatigue failure incorporating effects of specimen size and load amplitude on fatigue life
- (2019) Guian Qian et al. PHILOSOPHICAL MAGAZINE
- Microstructure of selective laser melted AlSi10Mg alloy
- (2019) Xihe Liu et al. MATERIALS & DESIGN
- Applying Neural-Network-Based Machine Learning to Additive Manufacturing: Current Applications, Challenges, and Future Perspectives
- (2019) Xinbo Qi et al. Engineering
- Shot Peening Process Effects on Metallurgical and Mechanical Properties of 316 L Steel via: Experimental and Neural Network Modeling
- (2019) E. Maleki et al. METALS AND MATERIALS INTERNATIONAL
- Surface layer nanocrystallization of carbon steels subjected to severe shot peening: Analysis and optimization
- (2019) Erfan Maleki et al. MATERIALS CHARACTERIZATION
- The Effect of Stress Relief on the Mechanical and Fatigue Properties of Additively Manufactured AlSi10Mg Parts
- (2019) Mfusi et al. Metals
- Fatigue behavior prediction and analysis of shot peened mild carbon steels
- (2018) Erfan Maleki et al. INTERNATIONAL JOURNAL OF FATIGUE
- Additive manufacturing of metallic components – Process, structure and properties
- (2018) T. DebRoy et al. PROGRESS IN MATERIALS SCIENCE
- On the fatigue strength enhancement of additive manufactured AlSi10Mg parts by mechanical and thermal post-processing
- (2018) Sara Bagherifard et al. MATERIALS & DESIGN
- Influence of defects and as-built surface roughness on fatigue properties of additively manufactured Alloy 718
- (2018) Arun Ramanathan Balachandramurthi et al. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
- A deep neural network for classification of melt-pool images in metal additive manufacturing
- (2018) Ohyung Kwon et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Using deep neural network with small dataset to predict material defects
- (2018) Shuo Feng et al. MATERIALS & DESIGN
- Effect of surface roughness on corrosion fatigue performance of AlSi10Mg alloy produced by Selective Laser Melting (SLM)
- (2017) Avi Leon et al. MATERIALS CHARACTERIZATION
- Predicting protein–protein interactions from protein sequences by a stacked sparse autoencoder deep neural network
- (2017) Yan-Bin Wang et al. Molecular BioSystems
- Additive manufacturing of metals
- (2016) Dirk Herzog et al. ACTA MATERIALIA
- Metal Additive Manufacturing: A Review of Mechanical Properties
- (2016) John J. Lewandowski et al. Annual Review of Materials Research
- The metallurgy and processing science of metal additive manufacturing
- (2016) W. J. Sames et al. INTERNATIONAL MATERIALS REVIEWS
- Rapid Solidification: Selective Laser Melting of AlSi10Mg
- (2016) Ming Tang et al. JOM
- Additive manufacturing technologies: state of the art and trends
- (2015) Julien Gardan INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Formulation of bead width model of an SLM prototype using modified multi-gene genetic programming approach
- (2014) A. Garg et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Bead geometry prediction for robotic GMAW-based rapid manufacturing through a neural network and a second-order regression analysis
- (2012) Jun Xiong et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Balling behavior of stainless steel and nickel powder during selective laser melting process
- (2011) Ruidi Li et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started